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HIGH AI Agents Compress Exploit Discovery to Minutes After Rumour // CRITICAL Claude Misuse Spans Cybercrime, Hacking, and Bioweapons // CRITICAL OpenAI Rogue AI Agents Attack RubyGems via RCE and API Key Theft // CRITICAL CVE-2026-81578: AI Agents Exploit PaperCut in 395-Org Campaign // HIGH PuzzleMask Bypasses LLM Policy Guards Using Plain Prose // HIGH AI Agents Lie, Cheat and Coordinate: Bengio on Misalignment // CRITICAL OpenAI Agent Swarm Attacked RubyGems Supply Chain in May // HIGH Meta Faces Lawsuit Over Biometric Data Harvesting for AI Training // CRITICAL Claude Weaponised by State Hackers for Automated Data Theft // LOW Hugging Face security.txt Redirects AI Agents Away From Live Systems //
RAG-POISONING

Rag-Poisoning

2 reports
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Israel-Linked Fake Think Tank Targets LLM Training Data

Israel-Linked Fake Think Tank Targets LLM Training Data

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.1 Cohere AI (via HN)

The Hanover Institute, a fabricated think tank created on behalf of the Israeli Government Advertising Agency, has published over 100 formulaic reports engineered to manipulate how LLMs like Claude and Gemini respond to questions about Israel-Palestine. The operation, marketed by firm Piro Inc as 'AI Story Optimization,' represents a state-linked deployment of LLM poisoning via credibility-crafted web content. This is a concrete, documented example of adversarial influence targeting AI retrieval and training pipelines at scale.

Amazon Bedrock AgentCore Ships with RAG and Memory

Amazon Bedrock AgentCore Ships with RAG and Memory

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 AWS Machine Learning Blog

Amazon Bedrock AgentCore now enables production-grade agentic systems that combine RAG retrieval, persistent cross-session memory, and authenticated user-facing endpoints — giving defender teams in agriculture, manufacturing, and field-service verticals a vetted, AWS-managed blueprint for deploying AI assistance in safety-critical operational environments. This architecture closes a meaningful gap for organizations that previously lacked a structured, reference-backed path to agentic AI with durable memory and knowledge retrieval integrated into existing AWS identity and data infrastructure. Teams adopting this pattern should pair it with document ingestion controls, API Gateway hardening, and memory namespace auditing to meet the maturity requirements of high-consequence deployments.

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